Luxembourg Research Evaluation 2022: Field Mapping of Knowledge Structure

1 Introduction: Mapping of broad research field around EIST in v2

Here are preliminary results of the bibliometric mapping of EIST. Its purpose is:

• To map the broader research community and distinct research field the department contributes to.
• Identify core knowledge bases, research areas gtrends and topics.
• Highlight the positioning of the department within this dynamics.

The method for the research-field-mapping can be reviewed here:

Rakas, M., & Hain, D. S. (2019). The state of innovation system research: What happens beneath the surface?. Research Policy, 48(9), 103787.

Note: The analysis in this document depicts the larger research field around the department, thereby all analysis results are based on the publications of the department plus related

—>

2 General Overview over the research field

Note: This section provides basic descriptives of th identified research fielld, including number of articles over time, countries, institutions, and authors. See Technical descriptionfor additional explanations.

2.1 Main Indicators: Publications, Authors, Countries

2.2 Connection between the research field’s Top Authors-Keywords-Journals

3 Topic modelling

Note: Here, we report the results of a LDA topic-modelling (basically, clustering on words) on all title+abstract texts. Identified topics can be interpreted as broad themes in the research field. See Technical descriptionfor additional explanations.

3.1 Topics by topwords

Note: While this static vies is helpful, I recommend using the interactive LDAVis version to be found under https://daniel-hain.github.io/biblio_lux_2022/output/topic_modelling/LDAviz_eist_v2/index.html#topic=1&lambda=0.60&term=. For functionality and usage, see ´Technical ´.

4 Knowledge Bases: Co-Citation network analysis

Note: This analysis refers the co-citation analysis, where the cited references and not the original publications are the unit of analysis. Identified knowledge bases can be interpreted as the knowledge foundation the field draws from. See Technical descriptionfor additional explanations.

5 Research Areas: Bibliographic coupling analysis

Note: This analysis refers the bibliographic coupling analysis, where original publications are the unit of analysis. Identified research areas can be interpreted as the field’s current research frontier. See Technical descriptionfor additional explanations.

6 Knowledge Bases, Research Areas & Topics Interaction

6.1 Joint Overview over Knowledge Bases, Research Areas, and Topics

This plot shows the connection of publications in the research areas to knowledge bases (by citations) and topics (by gamma, document-topic weight)

7 Trends

7.1 Lead-Lag Analysis

8 Collaboration

R version 4.2.1 (2022-06-23)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Ventura 13.1

Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] directlabels_2021.1.13 RColorBrewer_1.1-3     topicmodels_0.2-12     patchwork_1.1.2        ggrepel_0.9.1         
 [6] ggforce_0.4.1          plotly_4.10.1          widyr_0.1.5            kableExtra_1.3.4       knitr_1.40            
[11] tidytext_0.3.4         ggraph_2.1.0           tidygraph_1.2.2        bibliometrix_4.1.0     magrittr_2.0.3        
[16] forcats_0.5.2          stringr_1.4.1          dplyr_1.0.10           purrr_0.3.5            readr_2.1.3           
[21] tidyr_1.2.1            tibble_3.1.8           ggplot2_3.4.0          tidyverse_1.3.2       

loaded via a namespace (and not attached):
  [1] readxl_1.4.1           backports_1.4.1        servr_0.25             systemfonts_1.0.4      plyr_1.8.8            
  [6] igraph_1.3.5           lazyeval_0.2.2         crosstalk_1.2.0        SnowballC_0.7.0        digest_0.6.30         
 [11] htmltools_0.5.3        viridis_0.6.2          fansi_1.0.3            tm_0.7-9               googlesheets4_1.0.1   
 [16] cluster_2.1.3          tzdb_0.3.0             openxlsx_4.2.5.1       graphlayouts_0.8.3     modelr_0.1.9          
 [21] vroom_1.6.0            svglite_2.1.0          colorspace_2.0-3       rvest_1.0.3            pubmedR_0.0.3         
 [26] haven_2.5.1            xfun_0.34              crayon_1.5.2           jsonlite_1.8.3         bibliometrixData_0.3.0
 [31] glue_1.6.2             polyclip_1.10-4        gtable_0.3.1           gargle_1.2.1           emmeans_1.8.2         
 [36] webshot_0.5.4          rentrez_1.2.3          scales_1.2.1           mvtnorm_1.1-3          DBI_1.1.3             
 [41] Rcpp_1.0.9             viridisLite_0.4.1      xtable_1.8-4           dimensionsR_0.0.3      flashClust_1.01-2     
 [46] bit_4.0.5              stats4_4.2.1           DT_0.26                htmlwidgets_1.5.4      httr_1.4.4            
 [51] ellipsis_0.3.2         modeltools_0.2-23      factoextra_1.0.7       pkgconfig_2.0.3        XML_3.99-0.12         
 [56] farver_2.1.1           multcompView_0.1-8     sass_0.4.2             dbplyr_2.2.1           utf8_1.2.2            
 [61] reshape2_1.4.4         tidyselect_1.2.0       labeling_0.4.2         rlang_1.0.6            later_1.3.0           
 [66] munsell_0.5.0          cellranger_1.1.0       tools_4.2.1            cachem_1.0.6           cli_3.4.1             
 [71] generics_0.1.3         broom_1.0.1            evaluate_0.17          fastmap_1.1.0          yaml_2.3.6            
 [76] bit64_4.0.5            fs_1.5.2               zip_2.2.2              mime_0.12              slam_0.1-50           
 [81] leaps_3.1              xml2_1.3.3             tokenizers_0.2.3       compiler_4.2.1         rstudioapi_0.14       
 [86] reprex_2.0.2           tweenr_2.0.2           bslib_0.4.0            stringi_1.7.8          highr_0.9             
 [91] lattice_0.20-45        Matrix_1.5-1           vctrs_0.5.1            stringdist_0.9.10      pillar_1.8.1          
 [96] lifecycle_1.0.3        rscopus_0.6.6          jquerylib_0.1.4        estimability_1.4.1     data.table_1.14.4     
[101] httpuv_1.6.6           R6_2.5.1               promises_1.2.0.1       gridExtra_2.3          janeaustenr_1.0.0     
[106] MASS_7.3-57            assertthat_0.2.1       withr_2.5.0            parallel_4.2.1         hms_1.1.2             
[111] quadprog_1.5-8         grid_4.2.1             rmarkdown_2.17         googledrive_2.0.0      NLP_0.2-1             
[116] scatterplot3d_0.3-42   shiny_1.7.3            lubridate_1.8.0        FactoMineR_2.6        

8.1 Collaboration network

9 Endnotes